| Effective Term: | 2024/05 |
| Institute / School : | Institute of Innovation, Science & Sustainability |
| Unit Title: | Emergent Intelligent Workflows |
| Unit ID: | ITECH7303 |
| Credit Points: | 15.00 |
| Prerequisite(s): | (ITECH7301 and ITECH7302) |
| Co-requisite(s): | (ITECH7302) |
| Exclusion(s): | Nil |
| ASCED: | 029999 |
| Other Change: | |
| Brief description of the Unit |
In this course you will learn about the Intelligent Workflows that enable the Cognitive Enterprise, including information systems, services, and exponential technologies, and methodologies for their application. You will be required to apply your professional communications skills by critically analysing, and reflecting upon pseudo-client environment case studies, and making recommendations. Your attendance and participation in events such as seminars, workshops, expos and discussion forums will be critical to demonstrate your skills and knowledge in developing and pitching cognitive enterprise solutions. We provide unique opportunities for you to engage in authentic learning through engagement with your local IT community and to develop clear direction for personal career goals. |
| Grade Scheme: | Graded (HD, D, C, P, MF, F, XF) |
| Work Experience Indicator: |
| No work experience |
| Placement Component: | |
| Supplementary Assessment:Yes |
| Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment |
| Course Level: |
| Level of Unit in Course | AQF Level(s) of Course | | 5 | 6 | 7 | 8 | 9 | 10 | | Introductory | | | | | | | | Intermediate | | | | |  | | | Advanced | | | | | | |
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| Learning Outcomes: |
| Knowledge: |
| K1. | Explain what an "Intelligent Workflow” is, which types of businesses/industries are exploring Intelligent Workflows, and why. |
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| K2. | Identify various business processes to which different exponential technologies can be applied. |
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| K3. | Evaluate different exponential technologies related to Intelligent Workflows. |
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| K4. | Analyse how exponential technologies can be applied to a range of business processes. |
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| K5. | Identify and investigate the complexity associated with implementing different exponential technologies, such as security, privacy, and human factors. |
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| Skills: |
| S1. | Select exponential technologies for relevant business contexts. |
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| S2. | Identify business challenges that modern companies are facing in ever-changing business environments. |
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| S3. | Apply Intelligent Workflow concepts and estimate a step change in business performance. |
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| S4. | Work as a team to resolve a consulting challenge, through technology. |
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| Application of knowledge and skills: |
| A1. | Communicate professionally to present an exponential technology-based solution to clients, and respond to client feedback. |
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| A2. | Design a system solution using exponential technologies according to client’s requirements and business challenges. |
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| Unit Content: |
Topics could include: An overview of multiple emerging and eExponential Technologies (e.g. RPA, Blockchain, AI, Process Mining, Edge Computing, Connected Devices etc). The application of Exponential Technologies within industrial scenarios. The business benefits and challenges associated with Exponential Technology implementation. The context of data within an exponential technology. The different technologies which lie within categories of Exponential Technologies. Planning to implement exponential technologies. Communicating exponential technology selections, implementations, and benefits. |
| Graduate Attributes: |
| | Learning Outcomes Assessed | Assessment Tasks | Assessment Type | Weighting | | 1. | K1, K2, K3, K4, K5, S1, S2, S3, S4, A1, A2, A3 | Students will research selected topics related to exponential technologies and evaluate them. Students will conduct a project to design an intelligent workflow solution according to clients' requirements. | Assignment(s) | 40-60% | | 2. | K1, A1 | Students will present their intelligent workflow project to related stakeholders in a simulated workplace context. Students will self reflect their learning journey, achievements, lessons learnt, etc. | Presentation and self-reflection | 10-30% | | 3. | K4, S1, S2, S3, A1, A2 | Review and practice of skills and knowledge. | Examination and/or test | 20-40% |
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